Publication detail

The Analysis of Point Cloud Registration Methods for Natural Environment in Autonomous Driving

PROCHÁZKOVÁ, J. DEREVIANKO, A.

Original Title

The Analysis of Point Cloud Registration Methods for Natural Environment in Autonomous Driving

Type

conference paper

Language

English

Original Abstract

Autonomous driving necessarily involves mapping the surrounding terrain. Various algorithms are used, supllemented by the odometry or GPS signals. In the case of driving through very difficult terrain as woods, cart tracks, where this information is subject to large errors, only Lidar can be used. The article deals with processing the Lidar data from this extremely difficult terraing.

Keywords

point cloud registration, NDT, ICP, Lidar

Authors

PROCHÁZKOVÁ, J.; DEREVIANKO, A.

Released

25. 10. 2024

Publisher

Springer international publishing AG

Location

CHAM

ISBN

978-3-031-34031-4

Book

Lecture Notes in Computer Science

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Number

14615

State

Federal Republic of Germany

Pages from

302

Pages to

313

Pages count

11

BibTex

@inproceedings{BUT190081,
  author="Jana {Procházková} and Anna {Derevianko}",
  title="The Analysis of Point Cloud Registration Methods for Natural Environment in Autonomous Driving",
  booktitle="Lecture Notes in Computer Science",
  year="2024",
  journal="Lecture Notes in Computer Science",
  number="14615",
  pages="302--313",
  publisher="Springer international publishing AG",
  address="CHAM",
  doi="10.1007/978-3-031-71397-2\{_}19",
  isbn="978-3-031-34031-4",
  issn="0302-9743"
}